Chinese Research Article Introductions: Move Analysis and Linguistic Features

Yan Zhou
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Abstract

Research on academic genre has received widespread attention from linguists around the world. In the big data era, the demand of knowledge mining promotes the emergence and development of bibliometrics, and formal description of scientific knowledge is also put on the agenda. The application of RA move analysis to the field of knowledge mining is a new perspective of bibliometrics. At present, there are few studies on move analysis of Chinese RA introductions, and fewer studies are oriented to discourse computing. This study analyzes the move structures of Chinese RA introductions and finds out some linguistic features corresponding to each move. It is found that nearly half of the Chinese RA introductions follow the CARS model, but there are also unconventional structures. The linguistic features, including citation, negation, connectives and sentence subjects, are helpful for the automatic identification of move structures of Chinese RA introductions.
中文研究论文简介:移动分析与语言特征
学术体裁的研究受到了世界各国语言学家的广泛关注。在大数据时代,知识挖掘的需求推动了文献计量学的产生和发展,科学知识的形式化描述也提上了议事日程。将RA移动分析应用于知识挖掘领域是文献计量学研究的一个新视角。目前,对汉语RA引子的移动分析研究较少,面向语篇计算的研究更少。本文分析了汉语RA引子的走步结构,找出了每个走步所对应的语言特征。研究发现,中国近一半的RA引进遵循CARS模型,但也有非常规结构。引证、否定、连接词和句子主语等语言特征有助于汉语引证的移动结构自动识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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